INDEX

Explanations

words related to locations, especially transportation hubs like airports and seaports

oai_token-act-pair · gpt-3.5-turbo

occurrences of the substring "ap"

oai_token-act-pair · gpt-4o-mini Triggered by @bot

New Auto-Interp

Top Features by Cosine Similarity

Comparing With GPT2-SMALL @ 1-res-jb

Configuration

jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre

Prompts (Dashboard)

24,576 prompts, 128 tokens each

Dataset (Dashboard)

Skylion007/openwebtext

Features

24,576

Data Type

torch.float32

Hook Point

blocks.1.hook_resid_pre

Architecture

standard

Context Size

128

Dataset

Skylion007/openwebtext

Hook Point Layer

Activation Function

relu

Embeds

IFrame

Link

Not in Any Lists

No Comments

Negative Logits

WHERE

-0.68

 Masquerade

-0.66

 blender

-0.65

 phyl

-0.65

 Hurricanes

-0.64

 Corsair

-0.63

 Bruins

-0.63

knit

-0.62

 Admir

-0.61

 cigars

-0.61

POSITIVE LOGITS

alm

1.23

olitan

1.21

oleon

1.20

onent

1.17

ocalypse

1.16

apa

1.12

ocalyptic

1.10

otrop

1.09

artment

1.09

oton

1.08

Activations Density 0.012%

words related to locations, especially transportation hubs like airports and seaports

occurrences of the substring "ap"

No Comments

No Known Activations